Senior Data Scientist

Career Category

Clinical

Job Description

HOW MIGHT YOU DEFY IMAGINATION?

If you feel like you’re part of something bigger, it’s because you are. At Amgen, our shared mission -to serve patients - drives all that we do. It is key to our becoming one of the world’s leading biotechnology companies. We are global collaborators who achieve together - researching, manufacturing, and delivering ever-better products that reach over 10 million patients worldwide. It’s time for a career you can be proud of. Join us.

Senior Data Scientist

What you will do

Let's do this. Let's change the world.

Amgen is expanding its global Data Science capabilities, with Amgen India (AIN) playing a key role in integrated delivery and functional leadership. As a Senior Data Scientist, you will independently lead complex analytical initiatives, designing and deploying advanced modeling, forecasting, and AI solutions that enable data-driven decision making across Clinical Development. This role combines deep technical expertise with strong stakeholder engagement to deliver high-quality, scalable analytics, influence strategic decisions, and help develop the capabilities of the broader Data Science team.

Responsibilities

Lead the design, development and validation of advanced models for clinical trial planning and operations.

Integrate and assess multi-source clinical and operational data; define analysis-ready data and quality checks.

Select fit-for-purpose statistical, forecasting, ML or AI methods and evaluate alternatives, uncertainty and limitations.

Develop robust code, reusable components and analytical pipelines using Python, R, SQL and approved cloud platforms.

Translate results into practical scenarios, recommendations and decision support for study and portfolio teams.

Guide Data Scientists and coordinate delivery with clinical, statistics, programming, digital and data-platform partners.

Accountabilities

Own complex analytical workstreams and deliver agreed scope, quality and timelines.

Ensure methods, code, validation, documentation and communication meet reproducibility, compliance and governance expectations.

Improve reusable modelling capabilities, standards and ways of working across the Data Science team.

Identify and mitigate data, model, adoption and delivery risks; escalate material issues with clear options.

End-User Experience

Co-design analytical products with CfDA, GBS, GDO and clinical stakeholders around priority decisions and user needs.

Lead user testing, adoption feedback and iterative improvement of models and technology-enabled products.

Build trusted stakeholder relationships and communicate trade-offs, assumptions and limitations early.

Metrics

Timely delivery and adoption of validated analyses, models and documentation.

Quality, reproducibility, reuse and maintainability of analytical solutions.

Evidence that insights improve operational decisions and build team capability.

This position is currently located at Amgen India (Hyderabad).

Win

What we expect of you

We are all different, yet we all use our unique contributions to serve patients. The professional we seek is a strategic Data Science leader with a passion for tech-enabled transformation.

Basic Qualifications :

Master’s degree and 2 years of related experience, OR Bachelor’s degree and 4 years of related experience.

Preferred Skills :

Advanced degree in Statistics, Mathematics, Operations Research, Computer Science, Life Sciences or another quantitative field.

Three or more years in clinical research, pharma, predictive analytics or a related applied setting.

Advanced capability in Python and/or R plus SQL, reproducible workflows, version control, testing and cloud analytics.

End-to-end experience developing, validating and operationalizing statistical, forecasting, ML or AI solutions.

Experience leading analytical workstreams and coaching peers or junior colleagues.

Thrive

What you can expect of us

As we work to develop treatments that take care of others, so we work to care for our teammates’ professional and personal growth and well-being.

• •Vast opportunities to learn and develop within our global organization
• •Diverse and inclusive community of belonging, where teammates are empowered to bring ideas to the table and act
• •Generous Total Rewards Plan comprising health, finance and wealth, work/life balance, and career benefits

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